Compute the confusion matrix between two factors, or for an fda or mda object.
# S3 method for default
confusion(object, true, …)
# S3 method for fda
confusion(object, data, …)the predicted factor, or an fda or mda model object.
the true factor.
a data frame (list) containing the test data.
further arguments to be passed to or from methods.
For the default method essentially table(object, true), but
with some useful attribute(s).
This is a generic function.
# NOT RUN {
data(iris)
irisfit <- fda(Species ~ ., data = iris)
confusion(predict(irisfit, iris), iris$Species)
## Setosa Versicolor Virginica
## Setosa 50 0 0
## Versicolor 0 48 1
## Virginica 0 2 49
## attr(, "error"):
## [1] 0.02
# }